Medium Cars

Europe

Revenue in the Medium Cars market segment amounts to US$93,088m in 2019.

From an international perspective it is shown that most revenue is generated in China (US$150,054m in 2019).

Show more

The Medium Cars Market segment includes family passenger cars of an average footprint around 4.1m2 (44 ft2), an average mass around 1420kg (3130lbs) and a passenger/cargo volume between 2.8 m3 and 3.1 m3 (100 ft3 and 109 ft3).

European Car Segment: C (Medium Cars)

US Car Segment: Compact Cars

Chinese Car Segment: Category B

Also known as: Small Family Cars

Background: Medium sized cars existed since 1930’s but they rose in popularity only in 1950’s. In the USA at that time, Ford’s market research unit recognized the large potential of this market and started targeting college educated, higher-income individuals as well as families buying more than one car. In Europe, this market is also known as “Golf Segment”, due to dominance of Volkswagen’s Golf in the last quarter of the twentieth century.

Vehicle Sales by make

Reading Support
Medium Cars unit sales are expected to reach 3,970.9t in 2023.

PNG

Info

Vehicle Sales:

The box shows vehicle sales of the selection (market segment, region, make) for each year.

A definition and detailed explanation of the displayed markets can be found here.
×

Revenue by make

in the Medium Cars market
in million US$

Reading Support
Revenue in the Medium Cars market segment amounts to US$93,088m in 2019.

PNG

Info

Revenue:

The box shows the forecasted revenue development of the selection (market segment, region, make).

A definition and detailed explanation of the displayed markets can be found here.
×

Analyst Opinion

A medium-sized car offers a compromise between small and large cars, and is one of the most sought-after cars, after small SUVs. This is due to their affordability, compactness, ease-of-use and family friendliness. Medium cars are surely here to stay, and with the introduction of a wide variety of choices for consumers to choose from by manufacturers such as Ford, Toyota, Volkswagen, Hyundai, Mercedes-Benz, BMW and Audi, vehicle sales accruing from the Medium Cars segment would continue to increase.

Average Price

in the Medium Cars market
in US$

Reading Support
The volume weighted average price of Medium Cars in 2019 is US$25,357.

PNG

Info

Price per Unit:

The "Price per Unit" box shows the volume weighted average price per car in the selected market (market segment, region, make) for each year.

A definition and detailed explanation of the displayed markets can be found here.
×

Global Comparison - Revenue

in the Medium Cars market
in million US$

Reading Support
With a market volume of US$150,054m in 2019, most revenue is generated in China.

Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
×

XLS Download

Key Market Indicators

The following Key Market Indicators give an overview of the demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

CAGR(2014-2023)

Population in m

Number of individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

0-14 years in m

Number of individuals (age 0-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

15-24 years in m

Number of individuals (age 15-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

25-34 years in m

Number of individuals (age 25-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

35-44 years in m

Number of individuals (age 35-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

45-54 years in m

Number of individuals (age 45-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

55+ years in m

Number of individuals (age 55 and older) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Consumer spending (current) in US$

Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

00,000

00,000

00,000

00,000

00,000

00,000

00,000

00,000

00,000

00,000

Transport in US$

Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Consumer price index (CPI)

Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD

00.0

00.0

00.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Mobility

Click arrow to expand

Passenger km (road) in pkm

Total movement of passengers on roads using inland transport on a given network. Data are expressed in passenger-kilometres per-capita, which represents the transport of each one passenger on a distance of one kilometre. | Source: Statista, based on OECD

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

0,000

Passenger km (rail) in pkm

Total movement of passengers by rail using inland transport on a given network, data are expressed in passenger-kilometres per capita, which represents the transport of each one passenger on a distance of one kilometre | Source: Statista, based on OECD

000

000

000

000

000

000

000

000

000

000

Air passengers in m

Number of passengers carried by air transport in the selected region | Source: Statista, based on ICAO, World Bank

000.0

000.0

000.0

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

0,000.0

International trade

Click arrow to expand

Trade (% of GDP) in %

Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

00.0

Households in m

Total number of households in the selected region | Source: Statista

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

000.0

Urban population share in %

Share of population in the selected region living in urban areas | Source: Statista, based on World Bank

Source: Statista, August 2019, based on IMF, World Bank, UN and Eurostat

Methodology

We collect over 32 million data points from various sources, including but not limited to company reports and websites, vehicle registries, car dealers, and environment agencies. The data is modelled and forecasted using machine learning techniques in combination with the experience and knowledge of a team of international analysts, in order to produce the best market estimates and predictions.

We use cookies to personalize contents and ads, offer social media features, and analyze access to our website. In your browser settings you can configure or disable this, respectively, and can delete any already placed cookies. For details, please see your browser’s Help section (by pressing F1). Please see our privacy statement for details about how we use data.